This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. Instead of using appearance features for region correspondence ...
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
This paper deals with video segmentation based on motion and spatial information. Classically, the nucleus of the motion term is the motion compensation error (MCE) between two con...
Ariane Herbulot, Sylvain Boltz, Eric Debreuve, Mic...
Abstract. In this paper we propose a method for automating the process of detecting regions of motion in a video sequence in real time. The main idea of this work is to detect moti...
This paper deals with video segmentation based on motion and spatial information. Classically, the motion term is based on a motion compensation error (MCE) between two consecutiv...
Sylvain Boltz, Ariane Herbulot, Eric Debreuve, Mic...